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Aristidis Likas: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis
    Collision-Free Movement of an Autonomous Vehicle Using Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ECAI, 1992, pp:666-670 [Conf]
  2. Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis
    Parallel Recombinative Reinforcement Learning (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:311-314 [Conf]
  3. A. G. Anagnostakis, G. C. Sakellaris, M. Tzima, Dimitrios I. Fotiadis, Aristidis Likas
    CITATION - Citizen Information Tool in Smart Administration. [Citation Graph (0, 0)][DBLP]
    EGOV, 2002, pp:307-312 [Conf]
  4. A. G. Anagnostakis, G. C. Sakellaris, M. Tzima, Dimitrios I. Fotiadis, Aristidis Likas
    The "Citation" Platform: Semantics-Based Modeling & Retrieval of Administrative Information. [Citation Graph (0, 0)][DBLP]
    ICWI, 2002, pp:577-583 [Conf]
  5. Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas
    Protein Sequence Classification Using Probabilistic Motifs and Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:702-709 [Conf]
  6. Constantinos Constantinopoulos, Aristidis Likas
    Active Learning with the Probabilistic RBF Classifier. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:357-366 [Conf]
  7. Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis
    A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:84-93 [Conf]
  8. G. Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos
    An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:835-840 [Conf]
  9. Aristidis Likas, Nikolas P. Galatsanos
    A variational method for Bayesian blind image deconvolution. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:973-976 [Conf]
  10. John Chantas, Nikolas P. Galatsanos, Aristidis Likas
    Maximum a posteriori image restoration based on a new directional continuous edge image prior. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2005, pp:941-944 [Conf]
  11. Giannis Chantas, Nikolas P. Galatsanos, Aristidis Likas
    Non Stationary Bayesian Image Restoration. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2004, pp:689-692 [Conf]
  12. Konstantinos Valasoulis, Aristidis Likas
    Probabilistic Shape-Based Image Indexing and Retrieval. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:969-972 [Conf]
  13. Konstantinos Blekas, Aristidis Likas, Andreas Stafylopatis
    A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1997, pp:323-330 [Conf]
  14. Michalis K. Titsias, Aristidis Likas
    A Probabilistic RBF Network for Classification. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:238-243 [Conf]
  15. Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick
    Relevance Vector Machine Analysis of Functional Neuroimages. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:1004-1007 [Conf]
  16. Konstantinos Blekas, Aristidis Likas
    Incremental Mixture Learning for Clustering Discrete Data. [Citation Graph (0, 0)][DBLP]
    SETN, 2004, pp:210-219 [Conf]
  17. Constantinos Constantinopoulos, Aristidis Likas
    Efficient Training Algorithms for the Probabilistic RBF Network. [Citation Graph (0, 0)][DBLP]
    SETN, 2004, pp:183-190 [Conf]
  18. Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas
    A Bayesian Regularization Method for the Probabilistic RBF Network. [Citation Graph (0, 0)][DBLP]
    SETN, 2002, pp:337-345 [Conf]
  19. Argyris Kalogeratos, Aristidis Likas
    A Significance-Based Graph Model for Clustering Web Documents. [Citation Graph (0, 0)][DBLP]
    SETN, 2006, pp:516-519 [Conf]
  20. Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas
    Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation. [Citation Graph (0, 0)][DBLP]
    SETN, 2002, pp:314-324 [Conf]
  21. Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
    Large Scale Multikernel RVM for Object Detection. [Citation Graph (0, 0)][DBLP]
    SETN, 2006, pp:389-399 [Conf]
  22. Aristidis Likas, George Papageorgiou, Andreas Stafylopatis
    A Connectionist Approach for Solving Large Constraint Satisfaction Problems. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 1997, v:7, n:3, pp:215-225 [Journal]
  23. C. D. Katsis, Y. Goletsis, Aristidis Likas, Dimitrios I. Fotiadis, I. Sarmas
    A novel method for automated EMG decomposition and MUAP classification. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:37, n:1, pp:55-64 [Journal]
  24. Athanasios Papadopoulos, Dimitrios I. Fotiadis, Aristidis Likas
    An automatic microcalcification detection system based on a hybrid neural network classifier. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:25, n:2, pp:149-167 [Journal]
  25. Athanasios Papadopoulos, Dimitrios I. Fotiadis, Aristidis Likas
    Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2005, v:34, n:2, pp:141-150 [Journal]
  26. Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas, Lampros K. Michalis
    An ischemia detection method based on artificial neural networks. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:24, n:2, pp:167-178 [Journal]
  27. Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas
    Greedy mixture learning for multiple motif discovery in biological sequences. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:5, pp:607-617 [Journal]
  28. Aristidis Likas, Isaac E. Lagaris
    Training Reinforcement Neurocontrollers Using the Polytope Algorithm [Citation Graph (0, 0)][DBLP]
    CoRR, 1998, v:0, n:, pp:- [Journal]
  29. Isaac E. Lagaris, Aristidis Likas, D. G. Papageorgiou
    Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains [Citation Graph (0, 0)][DBLP]
    CoRR, 1998, v:0, n:, pp:- [Journal]
  30. Aristidis Likas, Andreas Stafylopatis
    High Capacity Associative Memory Based on The Random Neural Network Model. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1996, v:10, n:8, pp:919-937 [Journal]
  31. Aristidis Likas, Andreas Stafylopatis
    A Parallel Algorithm for the Minimum Weighted Vertex Cover Problem. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1995, v:53, n:4, pp:229-234 [Journal]
  32. Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas
    Motif-Based Protein Sequence Classification Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2005, v:12, n:1, pp:64-82 [Journal]
  33. D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis
    Discrete Optimisation Based on the Combined Use of Reinforcement and Constraint Satisfaction Schemes. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1995, v:3, n:2, pp:101-112 [Journal]
  34. Aristidis Likas
    A Reinforcement Learning Approach to Online Clustering. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:8, pp:1915-1932 [Journal]
  35. Michalis K. Titsias, Aristidis Likas
    Mixture of Experts Classification Using a Hierarchical Mixture Model. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:9, pp:2221-2244 [Journal]
  36. Aristidis Likas
    Reinforcement Learning Using the Stochastic Fuzzy Min-Max Neural Network. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2001, v:13, n:3, pp:213-220 [Journal]
  37. Aristidis Likas, Konstantinos Blekas
    A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1996, v:4, n:3, pp:167-172 [Journal]
  38. Aristidis Likas, Isaac E. Lagaris
    Training Reinforcement Neurocontrollers Using the Polytope Algorithm. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1999, v:9, n:2, pp:119-127 [Journal]
  39. Nikos A. Vlassis, Aristidis Likas
    A Greedy EM Algorithm for Gaussian Mixture Learning. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:15, n:1, pp:77-87 [Journal]
  40. Dimitrios Frosyniotis, Andreas Stafylopatis, Aristidis Likas
    A divide-and-conquer method for multi-net classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2003, v:6, n:1, pp:32-40 [Journal]
  41. Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas
    Bayesian Feature and Model Selection for Gaussian Mixture Models. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:6, pp:1013-1018 [Journal]
  42. Michalis K. Titsias, Aristidis Likas
    Class Conditional Density Estimation Using Mixtures with Constrained Component Sharing. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:7, pp:924-928 [Journal]
  43. Aristidis Likas, Nikos A. Vlassis, Jakob J. Verbeek
    The global k-means clustering algorithm. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:2, pp:451-461 [Journal]
  44. Dimitrios S. Frossyniotis, Aristidis Likas, Andreas Stafylopatis
    A clustering method based on boosting. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:6, pp:641-654 [Journal]
  45. Giannis Chantas, Nikolas P. Galatsanos, Aristidis Likas
    Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:10, pp:2987-2997 [Journal]
  46. A. G. Anagnostakis, M. Tzima, G. C. Sakellaris, Dimitrios I. Fotiadis, Aristidis Likas
    Semantics-based information modeling for the health-care administration sector: the Citation platform. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Technology in Biomedicine, 2005, v:9, n:2, pp:239-247 [Journal]
  47. Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris
    Mixture model analysis of DNA microarray images. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:7, pp:901-909 [Journal]
  48. Andreas Stafylopatis, Aristidis Likas
    Pictorial Information Retrieval Using the Random Neural Network. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Software Eng., 1992, v:18, n:7, pp:590-600 [Journal]
  49. Nikos A. Vlassis, Aristidis Likas
    A kurtosis-based dynamic approach to Gaussian mixture modeling. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 1999, v:29, n:4, pp:393-399 [Journal]
  50. Constantinos Constantinopoulos, Aristidis Likas
    Image Modeling and Segmentation Using Incremental Bayesian Mixture Models. [Citation Graph (0, 0)][DBLP]
    CAIP, 2007, pp:596-603 [Conf]
  51. Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas
    Rigid Image Registration based on Pixel Grouping. [Citation Graph (0, 0)][DBLP]
    ICIAP, 2007, pp:595-602 [Conf]
  52. Dimitris Tzikas, Matjaz Kukar, Aristidis Likas
    Transductive Reliability Estimation for Kernel Based Classifiers. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:37-47 [Conf]
  53. Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
    Robust variational bayesian kernel based blind image deconvolution. [Citation Graph (0, 0)][DBLP]
    VISAPP (Special Sessions), 2007, pp:143-150 [Conf]
  54. Christophoros Nikou, Nikolas P. Galatsanos, Aristidis Likas
    A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2007, v:16, n:4, pp:1121-1130 [Journal]

  55. Movie segmentation into scenes and chapters using locally weighted bag of visual words. [Citation Graph (, )][DBLP]


  56. Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. [Citation Graph (, )][DBLP]


  57. Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. [Citation Graph (, )][DBLP]


  58. Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection. [Citation Graph (, )][DBLP]


  59. Convex Mixture Models for Multi-view Clustering. [Citation Graph (, )][DBLP]


  60. An Incremental Bayesian Approach for Training Multilayer Perceptrons. [Citation Graph (, )][DBLP]


  61. Robust Image Registration using Mixtures of t-distributions. [Citation Graph (, )][DBLP]


  62. Variational Bayesian Blind Image Deconvolution with Student-T Priors. [Citation Graph (, )][DBLP]


  63. Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models. [Citation Graph (, )][DBLP]


  64. Deep Belief Networks for Spam Filtering. [Citation Graph (, )][DBLP]


  65. Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval. [Citation Graph (, )][DBLP]


  66. The global kernel k-means clustering algorithm. [Citation Graph (, )][DBLP]


  67. A robust knowledge-based technique for ischemia detection in noisy ECGs. [Citation Graph (, )][DBLP]


  68. Video rushes summarization using spectral clustering and sequence alignment. [Citation Graph (, )][DBLP]


  69. Incremental Relevance Vector Machine with Kernel Learning. [Citation Graph (, )][DBLP]


  70. A Sparse Regression Mixture Model for Clustering Time-Series. [Citation Graph (, )][DBLP]


  71. Event Detection and Classification in Video Surveillance Sequences. [Citation Graph (, )][DBLP]


  72. Visual Tracking by Adaptive Kalman Filtering and Mean Shift. [Citation Graph (, )][DBLP]


  73. Probabilistic Models Based on the Pi-Sigmoid Distribution. [Citation Graph (, )][DBLP]


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